
Sign up to save your podcasts
Or
In this episode, Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University, discusses Relational Deep Learning (RDL) and its role in automating feature engineering.
Highlights include:
- How RDL enhances predictive modeling.
- Applications in fraud detection and recommendation systems.
- The use of graph neural networks to simplify complex data structures.
5
1919 ratings
In this episode, Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University, discusses Relational Deep Learning (RDL) and its role in automating feature engineering.
Highlights include:
- How RDL enhances predictive modeling.
- Applications in fraud detection and recommendation systems.
- The use of graph neural networks to simplify complex data structures.
4,199 Listeners
8,625 Listeners
30,725 Listeners
3,177 Listeners
32,073 Listeners
340 Listeners
141 Listeners
110,824 Listeners
3,991 Listeners
228 Listeners
270 Listeners
5,955 Listeners
15,363 Listeners
1,085 Listeners
0 Listeners